scholarly journals Association between calcium intake, parathormone levels and blood pressure during pregnancy.

1969 ◽  
Vol 40 (2) ◽  
pp. 185-193
Author(s):  
Aníbal Nieto ◽  
Julián A. Herrera ◽  
José Villar ◽  
Roberto Matorras ◽  
Carlos López de la Manzanara ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Systolic Blood Pressure ◽  
Calcium Intake ◽  
Regression Models ◽  
Statistical Association ◽  
Linear Regression Models ◽  
High Systolic Blood Pressure ◽  
Low Calcium ◽  
Nitrite Nitrate ◽  
A Prospective Study

Purpose: To evaluate the association between calcium intake from diet, calciotropic hormones (PTH, PTH-rp), vasoactive regulators (endothelin, nitric oxide) and blood pressure levels during pregnancy, birth and puerperium. Method: In a prospective study 149 healthy normotensive primigravidas were followed-up from 15 weeks of gestation to puerperium. Daily calcium intake, calciuria, PTH, PTH-rp, endothelin, nitrite-nitrate, and Holter Test were assessed. Linear regression models were performed to evaluate the association between calcium intake, blood pressure levels and the laboratory tests. Multivariate regression models were performed to control potential confounders. Results: A significant increase of calcium intake during pregnancy was observed (931±301 mg/day to 1,195±467 mg/day, p< 0.001). Plasma PTH-rp, endothelin, and nitrite-nitrate levels did not change during pregnancy. Among the women 38 (25.4%) had low calcium intake (< 800 mg/day) with a larger increase of systolic and diastolic blood pressure during pregnancy (p=0.04) birth (p=0.006) and puerperium (p=0.01). After adjusting for other factors the multivariate analyses showed statistical association between low calcium intake, high parathormone levels and high systolic blood pressure levels during pregnancy (p=0.002). Conclusion: Low calcium intake during pregnancy is associated with a larger increase of systolic blood pressure and high parathormone levels.

scholarly journals Relation Between Low Calcium Intake, Parathyroid Hormone, and Blood Pressure

Hypertension ◽  
2000 ◽  
Vol 35 (5) ◽  
pp. 1154-1159 ◽  
Author(s):  
Rolf Jorde ◽  
Johan Sundsfjord ◽  
Egil Haug ◽  
Kaare H. Bønaa
Keyword(s):  
Blood Pressure ◽  
Parathyroid Hormone ◽  
Calcium Intake ◽  
Low Calcium

Abstract WMP14: Association of Systolic Blood Pressure, LDL Cholesterol, and Hgb A1c With White Matter Hyperintensity on MRI in the ACCORDION MIND Study

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Adam H de Havenon ◽  
Tanya Turan ◽  
Rebecca Gottesman ◽  
Sharon Yeatts ◽  
Shyam Prabhakaran ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Risk Factor ◽  
Regression Models ◽  
Ldl Cholesterol ◽  
Vascular Risk Factor ◽  
White Matter Hyperintensity ◽  
Vascular Risk ◽  
Linear Regression Models ◽  
Risk Factor Profile ◽  
The Mean

Introduction: While retrospective studies have shown that poor control of vascular risk factors is associated with progression of white matter hyperintensity (WMH), it has not been studied prospectively. Hypothesis: We hypothesize that higher systolic blood pressure (SBP) mean, LDL cholesterol, and Hgb A1c will be correlated with WMH progression in diabetics. Methods: This is a secondary analysis of the Memory in Diabetes (MIND) substudy of the Action to Control Cardiovascular Risk in Diabetes Follow-on Study (ACCORDION). The primary outcome was WMH progression, evaluated by fitting linear regression models to the WMH volume on the month 80 MRI and adjusting for the WMH volume on the baseline MRI. The primary predictors were the mean values of SBP, LDL, and A1c from baseline to month 80. We defined a good vascular risk factor profile as mean SBP <120 mm Hg and mean LDL <120 mg/dL. Results: We included 292 patients, with a mean (SD) age of 62.6 (5.3) years and 55.8% male. The mean number of SBP, LDL, and A1c measurements per patient was 17, 5, and 12. We identified 86 (29.4%) patients with good vascular risk factor profile. In the linear regression models, mean SBP and LDL were associated with WMH progression and in a second fully adjusted model they both remained associated with WMH progression (Table). Those with a good vascular risk factor profile had less WMH progression (β Coefficient -0.80, 95% CI -1.42, -0.18, p=0.012). Conclusions: Our data reinforce prior research showing that higher SBP and LDL is associated with progression of WMH in diabetics, likely secondary to chronic microvascular ischemia, and suggest that control of these factors may have protective effects. This study has unique strengths, including prospective serial measurement of the exposures, validated algorithmic measurement methodology for WMH, and rigorous adjudication of study data. Clinical trials are needed to investigate the effect of vascular risk factor reduction on WMH progression.

scholarly journals A prospective study of variability in systolic blood pressure and mortality in a rural Bangladeshi population cohort

2013 ◽  
Vol 57 (6) ◽  
pp. 807-812 ◽  
Author(s):  
Lital Yinon ◽  
Yu Chen ◽  
Faruque Parvez ◽  
Sripal Bangalore ◽  
Tariqul Islam ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Prospective Study ◽  
Systolic Blood Pressure ◽  
Population Cohort ◽  
Bangladeshi Population ◽  
A Prospective Study

Abstract P246: Relationship Between Urinary Sodium/potassium Ratio And Systolic Blood Pressure In Salt Sensitive Subjects In The Dash-sodium Trial

Hypertension ◽  
2021 ◽  
Vol 78 (Suppl_1) ◽  
Author(s):  
Rozalia Abramov ◽  
Elizabeth D Drugge ◽  
Khalid A Farhan ◽  
Nicholas R Ferreri
Keyword(s):  
Blood Pressure ◽  
Systolic Blood Pressure ◽  
Salt Intake ◽  
Control Diet ◽  
Dietary Sodium ◽  
Bivariate Analysis ◽  
Linear Regression Models ◽  
Unequal Distribution ◽  
Dash Diet ◽  
Black Females

Excessive salt intake is associated with hypertension and cardiovascular morbidity. However, identifying those at risk of salt sensitive hypertension (SSH) remains a challenge due to its unequal distribution among populations and inaccurate assessment of dietary sodium (Na) and potassium (K) intake. The objective of this study was to compare indices of dietary Na intake in relation to systolic blood pressure (SBP) in salt sensitive (SS) and salt resistant (SR) subjects from the Dietary Approaches to Stop Hypertension (DASH)-Sodium trial. We hypothesized that when compared to urinary Na or K independently, Na/K ratio is a better predictor of SSH when defined as a 5-10 mmHg change in SBP from low to high dietary Na. Among 404 Black and White subjects, baseline classifications included 177 SS and 227 SR. After diet randomization, on the control 107 were SS and 92 SR and on the DASH 70 were SS and 135 SR. Descriptive statistics, bivariate analysis, followed by linear regression models for baseline and multilevel mixed-effects models after intervention were used to assess the relationship between SBP and dietary Na (as measured by urinary Na/K ratio or Na and K independently) using SS as a categorical factor. SBP was consistently associated with SS, Na/K ratio, and age in all models . At baseline, SBP was significantly higher in SS and SR subjects of the same race and sex, after controlling for age and urinary Na/K ratio and was highest for White females, SS:142.3 (138.8, 145.7) vs. SR:133.2 (130.7, 135.7), and for Black males, SS:137.0 (133.8, 140.1) vs. SR: 129.6 (127.0, 132.3). On average, SBP increased 1.02 (0.065, 1.98) mmHg with each unit increase in Na/K ratio and 3.30 (2.41, 4.19) mmHg with each 10-year increase in age. After randomization and exposure to increasing levels of sodium, SBP increased in SS subjects on the control diet:125.3 (123.2, 127.3) to 136.8 (134.8, 138.9), an effect that was greater in White vs Black females and in Black vs White males. SBP increased in SS subjects on the DASH diet: 121.4 (118.8, 124.0) to 131.2 (128.7, 133.7), but there were no differences by race and sex. These results suggest that a 5-10 mmHg change in SBP in subjects on a typical American diet and Na/K ratio are good predictors of SSH and that the DASH diet may help to reduce race and sex disparities.

Screen-based media use and blood pressure in preschool-aged children: A prospective study in the Odense Child Cohort

2020 ◽  
pp. 140349482091482
Author(s):  
Jesper Pedersen ◽  
Martin G. Rasmussen ◽  
Mette Neland ◽  
Anders Grøntved
Keyword(s):  
Blood Pressure ◽  
Preschool Children ◽  
Screen Time ◽  
Regression Models ◽  
Prospective Analysis ◽  
Confounding Factors ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Prospective Association ◽  
A Prospective Study

Aims: To examine prospective and cross-sectional associations between screen time and blood pressure (BP) in preschool children. Methods: The Odense Child Cohort study started in January 2010. Children who were born in the municipality of Odense underwent a clinical examination at 3 and 5 years of age and their parents were asked to complete a questionnaire. A total of 628 children were included in the prospective analysis and 964 children were included in two cross-sectional analyses at 5 years of age. Multivariable adjusted linear and logistic regression models were computed to examine prospective and cross-sectional associations between screen time and BP with adjustment for putative confounding factors. Results: No significant prospective association was found between a 2-year change in screen time and systolic BP (0.55 BP percentile change per 1 h increase in screen time, 95% confidence interval (CI) −1.51 to 2.60) and diastolic BP (0.74 BP percentile change per 1 h increase in screen time, 95% CI −1.09 to 2.57). No significant cross-sectional association was observed between screen time (⩽1 h/day, >1–2 h/day, >2 h/day) and the prevalence of high BP at 5 years of age. Exposure to screen time before bedtime 2–5 days/week and ⩾6 days/week was significantly associated with a greater prevalence of high BP compared with screen time before bedtime 0–1 day/week (odds ratios 1.57 (95% CI 1.02–2.42) and 1.82 (95% CI 1.18–2.89), respectively. Conclusions: No prospective association was found between screen time and BP. However, a significant cross-sectional association was found between screen time before bedtime and high BP in preschool children.

scholarly journals Driving status, travel modes and accelerometer-assessed physical activity in younger, middle-aged and older adults: a prospective study of 90 810 UK Biobank participants

2019 ◽  
Vol 48 (4) ◽  
pp. 1175-1186 ◽  
Author(s):  
Samantha Hajna ◽  
Tom White ◽  
Jenna Panter ◽  
Søren Brage ◽  
Katrien Wijndaele ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Mixed Mode ◽  
Regression Models ◽  
Motor Vehicle ◽  
Uk Biobank ◽  
Linear Regression Models ◽  
Optimal Activity ◽  
Vigorous Intensity ◽  
A Prospective Study

Abstract Background Associations between driving and physical-activity (PA) intensities are unclear, particularly among older adults. We estimated prospective associations of travel modes with total PA, sedentary time (ST), light-intensity PA (LPA), and moderate-to-vigorous intensity PA (MVPA) among adults aged 39–70 years. Methods We studied 90 810 UK Biobank participants (56.1 ± 7.8 years). Driving status, specific travel modes (non-work travel; commuting to/from work) and covariates were assessed by questionnaire (2006–10). PA was assessed over 7 days by wrist-worn accelerometers (2013–15). We estimated associations using overall and age-stratified multivariable linear-regression models. Results Drivers accumulated 1.4% more total PA (95% confidence interval: 0.9, 1.9), 11.2 min/day less ST (–12.9, –9.5), 12.2 min/day more LPA (11.0, 13.3) and 0.9 min/day less MVPA (–1.6, –0.2) than non-drivers. Compared with car/motor-vehicle users, cyclists and walkers had the most optimal activity profiles followed by mixed-mode users (e.g. for non-work travel, cyclists: 10.7% more total PA, 9.0, 12.4; 20.5 min/day less ST, –26.0, –15.0; 14.5 min/day more MVPA, 12.0, 17.2; walkers: 4.2% more total PA, 3.5, 5.0; 7.5 min/day less ST –10.2, –4.9; 10.1 min/day more MVPA, 8.9, 11.3; mixed-mode users: 2.3% more total PA, 1.9, 2.7; 3.4 min/day less ST –4.8, –2.1; 4.9 min/day more MVPA, 4.3, 5.5). Some associations varied by age (p interaction &lt; 0.05), but these differences appeared small. Conclusions Assessing specific travel modes rather than driving status alone may better capture variations in activity. Walking, cycling and, to a lesser degree, mixed-mode use are associated with more optimal activity profiles in adults of all ages.

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